CN113570177A - Quality determination system for agricultural products and method of using the same - Google Patents
Quality determination system for agricultural products and method of using the same Download PDFInfo
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Abstract
The invention discloses a quality determining system of agricultural products and a using method of the quality determining system of the agricultural products, wherein the quality determining system of the agricultural products is used for integrating a plurality of supply terminals, and the main structure of the quality determining system of the agricultural products comprises a production recording unit, a quality management unit, preset growth information, a level distinguishing unit, a production optimization intelligent analysis unit, a comparison ranking unit, a production suggestion unit and a sale unit. Through the structure, after the supply end logs in the agricultural product quality determination system, the growth process of at least one agricultural product is recorded in the production recording unit, the grade distinguishing unit and the comparison ranking unit can identify and rank the supply end after receiving, and then the production suggestion unit gives a proper production suggestion to the supply end. Therefore, artificial intelligence and big data can be combined, the consistency of the production process is achieved, the growth quality of agricultural products and the overall environment quality of the farm are further ensured, and the overall industry is assisted to be upgraded.
Description
Technical Field
The invention provides a quality determining system of agricultural products and a using method thereof, and particularly relates to a quality determining system of agricultural products and a using method thereof, which utilize artificial intelligence to combine with the Internet of things to achieve the consistency of the production process, further ensure the growth quality of the agricultural products and the overall environment quality of a farm, and assist the overall industry to upgrade.
Background
Agriculture belongs to primary production and is one of important economic activities of human beings. In short, it is a system that human beings use their wisdom to create an environment more favorable to agricultural development, and use the growth and reproduction of domesticated animals and plants to obtain products, further to gain economic benefits.
Agricultural history can be traced back thousands of years ago, and agricultural development in different areas is greatly different along with climate, culture and technology. The emergence of various agriculture is a key factor for the rise of human settlement society, and the species after planting or domestication is beneficial to the development of civilization.
With the application of genetic engineering technology and the deep mind of sustainable development concept, the use amount of chemical fertilizers and pesticides is reduced in future agricultural production, so that related residues are reduced or eliminated, and the quality of agricultural products is improved. The increasing demand of consumers for high-quality and safe agricultural products will also promote the quality of the products to be paid more and more attention to by the supply end of the agricultural products. Meanwhile, with the application of block chains and other emerging technologies, a transparent traceability system from the field to the dining table in the whole process is highlighted by the public.
The "production history" in modern agriculture refers to information related to agricultural products at each stage of production, processing, distribution and sale, and can be traced back upstream or downstream, and records of accounting and keeping are made for the source of raw materials, the manufacturer of food or the selling point, so that the root cause of agricultural products and their information can be traced. The development of agriculture is closely related to diet of people, and belongs to one of important subjects in life, if farmers cannot ensure the quality of agricultural products and do accurate classification, the problem of food safety cannot be fundamentally solved, and the pursuit of continuous growth depends on innovation and progress.
However, the modern agriculture development has the following problems and disadvantages to be improved:
first, production consistency cannot be ensured, which easily leads to problems of poor quality.
Secondly, quality detection is mostly performed in a sampling inspection mode, and accuracy is low.
Third, production history is only used to record the growth of the crop, but is not useful.
Fourth, the quality inspection of the current agricultural products is performed after the agricultural products are collected, but the growth process of the agricultural products and the farm themselves do not have the functions of real-time quality inspection verification and feedback control management, so the quality inspection is not enough to express the quality level of the farm and the agricultural products.
Fifthly, the existing quality control programs such as IQC, OQC or FQC, which are only carefully inspected before the products are delivered, are not managed and controlled in the product growth process, and cannot represent the quality of farms and agricultural products.
Sixth, the technology industry, artificial intelligence industry and agriculture are developed vigorously, but how to integrate and optimize matching is not the capability of general farmers.
Therefore, how to solve the above-mentioned problems and disadvantages is a direction in which the applicant of the present invention and the related manufacturers engaged in the industry are keenly interested in studying and improving.
Disclosure of Invention
Therefore, in view of the above-mentioned shortcomings, the applicant of the present invention has devised a quality determination system for agricultural products and a method thereof, which utilizes artificial intelligence in combination with the internet of things to achieve cyclic quality management and further assist the overall industry in upgrading, by collecting relevant data, performing multi-party evaluation and consideration, and using years of experience accumulated in the industry and continuous trial and modification.
The main purposes of the invention are as follows: through the production recording unit, a production record system with quality decision-making capability is established, and the optimal growth conditions of agricultural products are calculated by utilizing a production optimization intelligent analysis unit, so that the consistency of the production process is achieved.
Another main object of the present invention is: the production suggestion unit gives a proper production suggestion to the supply end according to the ranking so as to ensure the growth quality of agricultural products and the overall environment quality of the farm and further assist the overall industry to upgrade.
To achieve the above object, the agricultural product quality determining system of the present invention is for integrating a plurality of supply terminals, and mainly comprises: the production recording unit is in information link with a quality management unit and a production optimization intelligent analysis unit, the quality management unit is internally provided with preset growth information, the quality management unit is in information link with a level distinguishing unit, the level distinguishing unit is in information link with a comparison ranking unit, and the comparison ranking unit is in information link with a production suggestion unit.
Through above-mentioned structure, the supply end is logged in agricultural product quality and is confirmed the system, with the growth process record of at least one agricultural product in the production recording unit to produce a growth environmental information, at the in-process of record, the quality management unit can compare preset growth information and the growth environmental information of agricultural product, if find growth environmental information where the problem has appeared, can give the supply end at least one suggestion of improving promptly, with the growth process to agricultural product. In addition, in the process of agricultural product growth, the production optimization intelligent analysis unit inquires opinions of a plurality of consumption terminals and works out the optimal growth conditions of the agricultural products through big data by matching the opinions of the consumption terminals and the growth environment information.
After the agricultural product is harvested, the grade distinguishing unit can give the supply end improvement prompt times according to the consumption of each energy in the growth environment information and the reference of the quality management unit, so that a product grade related to the agricultural product is generated, then the comparison ranking unit integrates each supply end according to the product grade and generates ranking information, so that the supply end can know the position of the supply end in an industrial chain, then the production suggestion unit gives the production suggestion suitable for each supply end according to the ranking information to assist the supply end to grow and develop, meanwhile, the optimal growth condition is applied to the preset growth information, so that the preset growth information can be continuously updated and improved, and finally, the supply end can sell the agricultural product in the agricultural product quality determination system through the selling unit.
Therefore, the artificial intelligence of the production optimization intelligent analysis unit is combined with the big data generated by a large amount of consumption end opinions and growth environment information, and meanwhile, the calculated optimal growth conditions are applied to the preset growth information, so that each supply end can obtain optimal quality control in the process of planting agricultural products in the future, the consistency of the production process is achieved, the growth quality of the agricultural products and the overall environment quality of the farm are further ensured, and the overall industry is assisted to be upgraded.
Through the technology, breakthroughs can be made for solving the problems that the production consistency cannot be ensured, the precision is low, the production record cannot be used, the quality standards of farm and agricultural products cannot be represented by quality inspection and quality control, and the agriculture cannot be combined with different industries in the modern agriculture development, and the practical progress of the advantages is achieved.
Drawings
FIG. 1 is a block diagram of the preferred embodiment of the present invention.
FIG. 2 is a flowchart illustrating steps of a preferred embodiment of the present invention.
FIG. 3 is a block flow diagram of a preferred embodiment of the present invention.
FIG. 4 is a schematic illustration of a production record according to a preferred embodiment of the present invention.
FIG. 5 is a schematic view of a usage meter according to a preferred embodiment of the present invention.
Fig. 6 is a schematic diagram of a reminder according to a preferred embodiment of the invention.
FIG. 7 is a hierarchical schematic of the preferred embodiment of the present invention.
FIG. 8 is a diagram illustrating ranking according to a preferred embodiment of the present invention.
FIG. 9 is a monitoring diagram of another preferred embodiment of the present invention.
FIG. 10 is a financial diagram of yet another embodiment of the present invention.
FIG. 11 is a diagram illustrating a community push according to yet another embodiment of the present invention.
Description of reference numerals: 1. 1 a-an agricultural product quality determination system; 11. 11 a-a production recording unit; 111-growth environment information; 12-a quality management unit; 121-presetting growth information; 122-improvement cues; 13-a level discrimination unit; 131-product grade; 14-production of an optimized intelligent analysis unit; 15-comparison ranking unit; 151-ranking information; 16-a production recommendation unit; 17. 17 a-a sales unit; 171 a-performance review unit; 1711 a-performance chart; 172 a-marketing advice unit; 18 a-a monitoring unit; 181a — live image; 19 a-a community promotion unit; 2. 2 a-supply end; 3. 3 a-agricultural products; 4-an electronic device; 5-the consuming end; 6 a-a handheld electronic device; 61 a-community software.
Detailed Description
To achieve the above objects and advantages, the present invention provides a novel and improved technical means and structure, which will be described in detail in connection with the preferred embodiments of the present invention.
Referring to fig. 1 to 8, which are a block diagram and a ranking schematic diagram illustrating a agricultural product quality determination system 1 according to a preferred embodiment of the present invention, a plurality of supply terminals 2 are integrated into the agricultural product quality determination system 1, as can be clearly seen from the drawings, the agricultural product quality determination system 1 mainly includes:
a production recording unit 11 for recording the growth process of at least one agricultural product 3 at the supply end 2;
a quality management unit 12, wherein the quality management unit 12 is linked to the production recording unit 11, and the quality management unit 12 has a preset growth message 121 therein, and the preset growth message 121 is used for comparing the growth process of the agricultural product 3;
a grade distinguishing unit 13, wherein the grade distinguishing unit 13 is linked with the quality management unit 12 for judging the grade of the agricultural product 3;
a production optimization intelligent analysis unit 14, wherein the production optimization intelligent analysis unit 14 is linked with the production recording unit 11 for calculating the optimal growth condition of the agricultural product 3;
a comparison ranking unit 15, the comparison ranking unit 15 being linked to the level distinguishing unit 13 for performing comparison ranking on the plurality of supply terminals 2;
a production suggestion unit 16, wherein the production suggestion unit 16 links the comparison ranking unit 15 with information and provides production suggestions for the plurality of supply terminals 2; and
a sale unit 17, wherein the sale unit 17 is used for assisting the plurality of supply terminals 2 to sell the agricultural products 3.
Preferably, the supply end 2 refers to a farmer and a farm thereof, and the farm may be one of an indoor farm or a mushroom farm, but is not limited thereto.
Preferably, the agricultural product quality determination system 1 is an application App.
Preferably, the production optimization intelligence analysis unit 14 is a computational process that employs artificial intelligence.
Preferably, the agricultural product 3 may be one of phalaenopsis amabilis, celastrus orbiculatus, pinus xiaojuensis, lotus leaf, pinus koraiensis, kale, cabbage a, fushan, roman or garland chrysanthemum, and the celastrus orbiculatus, the pinus orbiculatus, the kale and the like are taken as an example in the drawings of the present invention, but the present invention is not limited thereto.
Through the above description, the structure of the present technology can be understood, and according to the corresponding cooperation of the structure, artificial intelligence and big data can be combined to achieve circular quality management, thereby assisting the whole industry to upgrade, and the detailed description will be described below.
The method for using the agricultural product quality determination system 1 of the present invention includes the steps of:
(a) a plurality of supply terminals log in the agricultural product quality determining system;
(b) the plurality of supply terminals record the growth process of at least one agricultural product in a production recording unit arranged in the agricultural product quality determining system so as to generate growth environment information;
(c) a quality management unit in the agricultural product quality determination system compares preset growth information arranged in the agricultural product quality determination system with the growth environment information and gives at least one improvement prompt to the supply end in due time;
(d) in the agricultural product growth process, a production optimization intelligent analysis unit in the agricultural product quality determination system inquires opinions of a plurality of consumption terminals, and calculates the optimal growth condition of the agricultural product through big data by matching the opinions of the consumption terminals with the growth environment information;
(e) after the agricultural product is harvested, the agricultural product is evaluated by a grade distinguishing unit arranged in the agricultural product quality determining system, and a product grade is generated;
(f) a comparison ranking unit in the agricultural product quality determination system takes the product grade as a basis, compares and ranks the plurality of supply terminals and generates ranking information;
(g) the agricultural product quality determining system gives production suggestions to the plurality of supply terminals according to the ranking information and in cooperation with a production suggestion unit arranged in the agricultural product quality determining system; and
(h) the supply end sells the agricultural products in a selling unit arranged in the agricultural product quality determining system.
With the above structure and steps, first, the supply terminal 2 for planting agricultural products 3 is logged into the agricultural product quality determination system 1 through an electronic device 4, the electronic device 4 is exemplified by a computer, then, the supply terminal 2 records the growth process of the agricultural product 3 in a production recording unit 11 (indicated as "production record" in the figure), the growth process refers to the time, place or amount of energy sources such as fertilizer, water, probiotics, pesticide or electricity (shown as the time point of water spraying today in figure 4), the production recording unit 11 can also input the name and address of the farm, the cultivation stage (planning, cultivating, harvesting, waste cultivating) of the agricultural product 3, the cultivation environment (open air, facility), the initial date of planting, the quality of cultivated land, etc., however, without limitation, the production recording unit 11 will generate the growth environment information 111 and be updated by the input of the supply terminal 2 every day. The growth environment information 111 (shown as "monthly table") includes a daily production table (fig. 5 shows production data of each agricultural product 3 in a pie chart, a histogram, and a statistical table), a pesticide amount table, a fertilizer amount table, and the like, and different data can be viewed according to different pesticides or fertilizer types, different times, or different farms.
In the process of growing the agricultural product 3, the quality management unit 12 (shown as "energy use adjustment" in the figure) checks the growth quality of the agricultural product 3, the quality management unit 12 compares preset growth information 121 with growth environment information 111 (shown as "Qingjiang dish growth environment" in figure 6) of the agricultural product 3, the preset growth information 121 is used for systematically judging superior growth conditions (for example, the amount of fertilizer to be used, the amount of pesticide to be used, or the amount of water to be used) of the agricultural product 3, so if the growth environment information 111 has a problem (for example, the amount of pesticide recorded in the growth environment information 111 is lower than the range of the amount of fertilizer to be used in the preset growth information 121), the quality management unit 12 sends an improvement prompt 122 (shown as "increase of fertilizer to be applied" in figure 6) to the supply terminal 2, reminding the supply terminal 2 of what kind of energy should be increased or decreased, and further closing the agricultural products 3 in the growth stage layer by layer.
The production optimization intelligent analysis unit 14 queries a plurality of consumption terminals 5, wherein a consumption terminal 5 refers to a consumer of the agricultural product 3 to know the demand of the consumption terminal 5 (for example, if the consumer thinks that the water content of the agricultural product 3 is too low, the water consumption needs to be increased, or if the consumer thinks that the appearance of the agricultural product 3 is not good, the pesticide consumption needs to be increased), so that when the agricultural product 3 is received, the production optimization intelligent analysis unit 14 calculates the optimal growth condition for the agricultural product 3 through big data by using a large amount of consumption terminal opinions and the growth environment information 111 generated by the production recording unit 11.
When the agricultural product 3 is harvested, the grade distinguishing unit 13 (shown as "product grade" in the figure) judges the grade of the agricultural product 3, so as to give the agricultural product 3a product grade 131 (shown as a statistical table generated by crops and grades in the figure, wherein the green river vegetable is given by four grades, the small pine is given by two grades, the lotus white is given by three grades, and the kaland is given by five grades), and the mode of grading the agricultural product 3 is not limited, and the agricultural product 3 is classified into five grades in the embodiment:
a first stage: and (5) product inspection, wherein the product is qualified after passing CAS inspection.
And a second stage: authentication, passing the authentication of CAS environment, manufacturing process and product.
And a third stage: history management, in which the energy consumption of the growth environment information 111 is in accordance with the energy consumption range of the preset growth information 121, that is, the third level of history management is reached, and it also means that the supplier 2 does not receive any improvement prompt 122 when planting the agricultural products 3.
Fourth stage: and (3) carrying out qualitative and quantitative classification grading, using a six-standard deviation concept, following five steps of defining, measuring, analyzing, improving and controlling, and obtaining the fourth grade if all the data (such as soil quality and soil moisture) of the environment before planting are adjusted to be optimal.
And a fifth stage: autonomous management and third party quality assurance (brand) operate in compliance with international quality standards and achieve autonomous management.
The CAS is a good agricultural product certification mark, which is a high-quality representative mark for good agricultural products and processed products thereof, and is used for certifying the safety and the superiority of the agricultural products 3 and the processed products thereof. The classification of the first to fifth stages is only exemplary, but not limited. Thus, when a plurality of agricultural products 3 are planted at the same time by one supply end 2, the grade discrimination unit 13 determines the grade of each agricultural product 3, so that the supply end 2 obtains a plurality of product grades 131.
Further, the comparison ranking unit 15 (shown as "farm ranking" in the figure) integrates the suppliers 2 according to the product grades 131 to form ranking information 151 (shown as a statistical table formed by ranking, farm and total score in fig. 8, and for example, the first a farm total score is 4.82, the second B farm total score is 4.51, the third C farm total score is 3.9, the fourth D farm total score is 3.75, and the fifth E farm total score is 3.2), the ranking basis can be the average score of the product grades 131 obtained from the agricultural products 3 of the suppliers 2, and then the ranking is performed by the score to form the ranking information 151, the ranking information 151 is a ranking list, so that the suppliers 2 can clearly know that they belong to front, middle or rear segments in the agricultural chain, and can also see the suppliers 2 of the top rank in the ranking information 151, the supply end 2 with the ranking behind can learn from the supply end 2 with the ranking ahead, or request cooperation, so that the whole industry is upgraded.
In addition, after the ranking information 151 is generated, the production suggestion unit 16 (shown as "production suggestion") gives appropriate production suggestions to the supply terminals 2 according to the ranking information 151 and the optimal growth conditions generated by the production optimization intelligent analysis unit 14, and since the agricultural product quality determination system 1 clearly knows the advantages and the passing part of the supply terminals 2 ranked at the top, the suggestions corresponding to the supply terminals 2 ranked at the bottom can be given to assist the development of each supply terminal 2 and improve continuously. Meanwhile, the agricultural product quality determination system 1 uses the optimal growth condition generated by the production optimization intelligent analysis unit 14 in the preset growth information 121, and updates the preset growth information 121 to assist the growth of future agricultural products 3, so that the agricultural products 3 planted in the future can grow according to the optimal conditions at the initial stage, and the production consistency is achieved.
The selling unit 17 (shown as a "selling platform" in the figure) allows the supply end 2 to display the information that the agricultural product 3 has been received in the agricultural product quality determining system 1, so as to assist the supply end 2 in selling the agricultural product 3. The consumption end 5 can place orders in the selling unit 17 of the agricultural product quality determining system 1, and the supply end 2 can execute corresponding order receiving actions, so that the agricultural product quality determining system 1 can analyze competitive items in the current market, and simultaneously perform Production prediction according to the current sales condition of the agricultural product 3, so as to generate an optimal Production plan and provide the optimal Production plan to the supply end 2, and then the supply end 2 can perform Production scheduling (MPS), Material Requirement Planning (MRP), Capacity Requirement Planning (CRP), and the like, so that the agricultural product 3 can be collected within a predetermined time, and the Production can be performed after the plans are all prepared sufficiently.
The collected agricultural products 3 are put in storage and subjected to product sampling inspection (OQC for short), and after the inspection is finished, the agricultural products can be delivered to a consumption end 5 for collection. The aforementioned sales modes are only examples, but not limited. The selling unit 17 gives the supplying terminal 2 and the consuming terminal 5 a transaction channel at the same time to assist the supplying terminal 2 to complete the operations from planting to selling in the agricultural product quality determining system 1, and to assist the consuming terminal 5 to purchase high-quality agricultural products 3.
Therefore, the artificial intelligence of the production optimization intelligent analysis unit 14 is combined with the big data generated by a large amount of consumption end opinions and the growth environment information 111, and the calculated optimal growth conditions are applied to the preset growth information 121, so that each supply end 2 can obtain optimal quality control in the future agricultural product 3 planting process, in addition, the level distinguishing unit 13 and the comparison ranking unit 15 enable each supply end 2 to generate benign competition, the consistency of the growth process is further achieved, meanwhile, the growth quality of the agricultural products 3 and the overall environment quality of the farm are further ensured, and the development space of the overall industry is enlarged.
Referring to fig. 9 to 11, it is clear that the monitoring diagram to the community broadcasting diagram according to still another preferred embodiment of the present invention are configured as above, in this embodiment, the agricultural product quality determining system 1a includes a monitoring unit 18a (shown as "monitoring system") and a community broadcasting unit 19a (shown as "community link"), and the selling unit 17a includes a performance evaluating unit 171a (shown as "performance broken line diagram") and a marketing suggestion unit 172a (shown as "marketing suggestion").
The monitoring unit 18a can generate a real-time image 181a (fig. 9 shows a satellite cloud and a real-time image of the agricultural product 3a, and the upper part thereof is indicated by a text, "you choose a18 cultivated crop as a qingjiang dish", to inform the currently viewed area and the agricultural product 3a cultivated in the area), so that the supply end 2a can observe the condition of the farm at any time, and further find and solve the problem of the agricultural product 3a immediately when the agricultural product 3a has a problem, and clearly see whether there is a space for cultivation in the large farm, so as to achieve good space utilization, thereby assisting the supply end 2a to plant the agricultural product 3 a.
In the modern agricultural society, although some farmers have high rejection on using the technology system, the community software is not planted deeply in the lives of people at all ages except the community software, so even the people with high rejection on the technology system still use the community software.
The community broadcasting unit 19a enables the agricultural product quality determining system 1a to be used in community software, the supplying end 2a can link the information of the agricultural product quality determining system 1a to the community software 61a in the handheld electronic device 6a through the community broadcasting unit 19a, the handheld electronic device 6a is a mobile phone, and the community software 61a is a LINE account (fig. 11 shows the "broadcasting system"), so that the supplying end 2a can grasp the information of the agricultural product 3a at any time through the handheld electronic device 6a and receive the notification sent by the community broadcasting unit 19a in the community software 61a to achieve the reminding function (as fig. 11, the broadcasting system informs the user to display the fertilizer and pesticide frame according to the indication operation, if the supplying end 2a is finished, click "finished", if not, click the "reason for incomplete description" in the figure and the description reason is recorded).
In addition, if the supplier 2a is busy and cannot make time to take care of the agricultural products 3a, the information can be distributed in the community broadcasting unit 19a to hire temporary employees, and users of the rest community broadcasting units 19a can send work on the community broadcasting unit 19a or the community software 61a to become temporary workers of the farm, and the community software 61a of the information link community broadcasting unit 19a gives a task list of the temporary workers according to the actions to assist the temporary workers to complete the work, and meanwhile, the supplier 2a with busy affairs can complete daily agricultural product 3a care operation, so that the effect of killing two birds is achieved.
The performance evaluation unit 171a generates a performance chart 1711a according to the revenue of the sales unit 17a and the production record unit 11a, so that the supplier 2a can clearly see the overall sales status, and the performance chart 1711a in this embodiment is illustrated by a broken line chart formed by the yield, revenue and year in fig. 10.
The marketing suggestion unit 172a counts the agricultural products 3a suitable for cultivation and the agricultural products 3a suitable for purchase according to the information input into the selling unit 17a by the supply end 2a and the consumption end, and informs the supply end 2a and the consumption end to promote the circulation of the agricultural products 3a in the market, thereby assisting the upgrading of the whole industry.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Therefore, the quality determination system and method for agricultural products of the present invention can improve the existing technical key points:
first, a production record system with quality decision capability is established by the production recording unit 11, and the optimal growth conditions of the agricultural products 3 are calculated by the production optimization intelligent analysis unit 14.
Secondly, the comparing and ranking unit 15 ranks the supplier 2 according to the product grade 131 formed by the grade distinguishing unit 13, and the production suggesting unit 16 gives a suitable production suggestion to the supplier 2 according to the ranking, so as to achieve the circular quality management and further assist the overall industry upgrade.
Thirdly, the quality management unit 12 supervises the supply end 2 as much as possible, and reminds the supply end 2 when the energy source in the growth process of the agricultural products 3 is wrong.
Fourth, the supply terminal 2 is allowed to sell the planted agricultural product 3 in the agricultural product quality determination system 1 by the selling unit 17.
Fifthly, the supply end 2a can observe the farm and the cultivation condition of the agricultural product 3a at any time through the monitoring unit 18a, and can immediately deal with the problem when the problem is met.
Sixthly, the community broadcasting unit 19a transmits the information to the handheld electronic device 6a of the supplier 2a to achieve the reminding effect, and the user of the community broadcasting unit 19a can become a temporary work order to receive and dispatch work, so as to help the supplier 2a take care of the agricultural products 3a when the business is busy.
Seventh, the performance evaluation unit 171a makes the supply end 2a clearly see the overall sales condition.
Eighth, the marketing suggestion unit 172a informs the supplier 2a and the consumer of the current market trend.
Claims (10)
1. A quality determination system for agricultural products, the quality determination system for integrating a plurality of supply terminals, comprising:
a production recording unit for recording the growth process of at least one agricultural product at the supply end;
the quality management unit is in information link with the production recording unit and is internally provided with preset growth information which is used for comparing the growth process of the agricultural products;
a grade distinguishing unit, wherein the grade distinguishing unit information is linked with the quality management unit for judging the grade of the agricultural product;
the production optimization intelligent analysis unit is in information link with the production recording unit and is used for calculating the optimal growth condition of the agricultural product;
the comparison ranking unit is linked with the level distinguishing unit for performing comparison ranking on the plurality of supply terminals;
a production suggestion unit, wherein the production suggestion unit information links the comparison ranking unit and provides the production suggestions for the plurality of supply terminals; and
and the selling unit is used for assisting the plurality of supply terminals to sell agricultural products.
2. The agricultural product quality determining system of claim 1, wherein the agricultural product quality determining system comprises a monitoring unit for monitoring the agricultural product at any time by the plurality of supply terminals.
3. The system of claim 1, wherein the agricultural product quality determination system comprises a community dissemination unit, wherein the community dissemination unit links the agricultural product quality determination system information with a handheld electronic device to provide reminders to the plurality of suppliers during the growth of the agricultural product.
4. The agricultural product quality determining system of claim 1, wherein the sales unit has a performance evaluation unit for assisting the plurality of supply terminals to measure the production efficiency of the agricultural product.
5. The agricultural product quality determining system of claim 1, wherein the sales unit has a marketing suggestion unit therein for providing the plurality of supply terminals with marketing suggestions.
6. A method of using a quality determination system for agricultural products, comprising:
(a) a plurality of supply terminals log in the agricultural product quality determining system;
(b) the plurality of supply terminals record the growth process of at least one agricultural product in a production recording unit arranged in the agricultural product quality determining system so as to generate growth environment information;
(c) a quality management unit in the agricultural product quality determination system compares preset growth information arranged in the agricultural product quality determination system with the growth environment information and gives at least one improvement prompt to a supply end in due time;
(d) in the agricultural product growth process, a production optimization intelligent analysis unit in the agricultural product quality determination system inquires opinions of a plurality of consumption terminals and works out the optimal growth condition of the agricultural product through big data by matching the opinions of the consumption terminals with the growth environment information;
(e) after the agricultural product is harvested, the agricultural product is evaluated by a grade distinguishing unit arranged in the agricultural product quality determining system, and a product grade is generated;
(f) a comparison ranking unit in the agricultural product quality determination system takes the product grade as a basis, compares and ranks the plurality of supply terminals and generates ranking information;
(g) the agricultural product quality determining system gives production suggestions to the plurality of supply terminals according to the ranking information and in cooperation with a production suggestion unit arranged in the agricultural product quality determining system; and
(h) the supply end sells the agricultural product in a selling unit arranged in the agricultural product quality determining system.
7. The method of using the agricultural product quality determining system of claim 6, wherein the agricultural product quality determining system comprises a monitoring unit for monitoring the agricultural product at any time by the plurality of supply terminals.
8. The method as claimed in claim 6, wherein the agricultural product quality determination system comprises a community dissemination unit, the community dissemination unit links the agricultural product quality determination system information with a handheld electronic device to remind the suppliers of the agricultural product during the growth process.
9. The method as claimed in claim 6, wherein the selling unit has a performance evaluation unit for assisting the plurality of suppliers to measure the production efficiency of the agricultural product.
10. The method of using the agricultural product quality determining system of claim 6, wherein the selling unit has a marketing suggestion unit for providing the selling suggestions to the plurality of supply terminals.
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